mirror of
https://github.com/webclinic017/drift.git
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Mark Aron Szulyovszky
25 lines
713 B
Python
25 lines
713 B
Python
import pandas as pd
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from config.types import Config
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import warnings
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from utils.helpers import get_first_valid_return_index
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from data_loader.types import XDataFrame
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def check_data(X: XDataFrame, config: Config) -> bool:
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"""Returns True if data is valid, else returns False."""
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if has_enough_samples_to_train(X, config) == False:
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warnings.warn("Not enough samples to train")
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return False
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return True
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def has_enough_samples_to_train(X: XDataFrame, config: Config) -> bool:
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first_valid_index = get_first_valid_return_index(X.iloc[:, 0])
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samples_to_train = len(X) - first_valid_index
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return (
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samples_to_train
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> (config.sliding_window_size *2) + 100
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)
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